Pinterest

New grads run the same opening sequence but then take four one-hour technical interviews (the first plus three more back-to-back, roughly three additional hours) before the hiring committee. The new-grad loop therefore needs a single contiguous interview window blocked out: the half-day technical bar, not the assessment or screens, is the practical scheduling constraint.

Pinterest's university recruiting hub lists distinct intern and new-grad tracks; summer cohorts run 12 weeks with fixed May or June start dates:

• Software Engineering Internship ("Pintern") and Software Engineering University Grad, applications opening Fall 2026
• PhD Machine Learning Internship and Master's Machine Learning Internship, 12 weeks, applications currently open
• Data Science Internship (summer only) and Data Science University Grad, applications opening Fall 2026
• UX Quantitative Research Internship, applications opening Fall 2026

A separate Apprenticeship Program runs up to one year across Apprentice Engineer, Product Manager, Product Designer, and Product Researcher tracks. Several tracks open simultaneously in autumn for the next summer's cohort, so a candidate considering both Software Engineering and ML or Data Science roles is filing multiple applications across overlapping windows.

It explicitly excludes currently enrolled degree students, distinguishing it from the parallel university recruiting tracks which segment further by degree level, with Master's and PhD Machine Learning internships sitting alongside general Software Engineering and Data Science cohorts. For a candidate whose background does not fit the standard CS-degree funnel, the apprenticeship is an eligibility-defined route in rather than an inclusion gesture, and its application package, leaning on collaborative work experience and role-specific skills, is materially different from the university tracks'.